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Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising
v1v2 (latest)

Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising

Computer Vision and Pattern Recognition (CVPR), 2024
21 December 2024
Longji Xu
Hongyuan Wang
Lizhi Wang
Xinyu Wang
Lin Zhu
Wanxuan Lu
Hua Huang
ArXiv (abs)PDFHTML

Papers citing "Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising"

40 / 40 papers shown
Title
Hybrid-Domain Synergistic Transformer for Hyperspectral Image Denoising
Hybrid-Domain Synergistic Transformer for Hyperspectral Image DenoisingApplied Sciences (AS), 2025
Haoyue Li
Di Wu
120
0
0
27 Jul 2025
Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising
Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image DenoisingComputer Vision and Pattern Recognition (CVPR), 2024
Tong Li
Lizhi Wang
Zhiyuan Xu
Lin Zhu
Wanxuan Lu
Hua Huang
374
3
0
21 Dec 2024
Exploiting Frequency Correlation for Hyperspectral Image Reconstruction
Exploiting Frequency Correlation for Hyperspectral Image Reconstruction
Muge Yan
Lizhi Wang
Lin Zhu
Hua Huang
349
2
0
02 Jun 2024
NIR-Assisted Image Denoising: A Selective Fusion Approach and A Real-World Benchmark Dataset
NIR-Assisted Image Denoising: A Selective Fusion Approach and A Real-World Benchmark Dataset
Rongjian Xu
Zhilu Zhang
Ren-Rong Wu
Wangmeng Zuo
281
3
0
12 Apr 2024
In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera
  Compressive Hyperspectral Imaging
In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging
Xin Wang
Lizhi Wang
Xiangtian Ma
Maoqing Zhang
Lin Zhu
Hua Huang
267
14
0
20 Dec 2023
Mutual-Guided Dynamic Network for Image Fusion
Mutual-Guided Dynamic Network for Image FusionACM Multimedia (ACM MM), 2023
Yuansheng Guan
Ruikang Xu
Mingde Yao
Lizhi Wang
Zhiwei Xiong
295
25
0
24 Aug 2023
Zero-Shot Noise2Noise: Efficient Image Denoising without any Data
Zero-Shot Noise2Noise: Efficient Image Denoising without any DataComputer Vision and Pattern Recognition (CVPR), 2023
Youssef Mansour
Reinhard Heckel
VLM
244
122
0
20 Mar 2023
DarkVisionNet: Low-Light Imaging via RGB-NIR Fusion with Deep
  Inconsistency Prior
DarkVisionNet: Low-Light Imaging via RGB-NIR Fusion with Deep Inconsistency PriorAAAI Conference on Artificial Intelligence (AAAI), 2022
Shuangping Jin
Bingbin Yu
Minhao Jing
Yi Zhou
Jiajun Liang
Renhe Ji
151
37
0
13 Mar 2023
Xformer: Hybrid X-Shaped Transformer for Image Denoising
Xformer: Hybrid X-Shaped Transformer for Image DenoisingInternational Conference on Learning Representations (ICLR), 2023
Jiale Zhang
Yulun Zhang
Jinjin Gu
Jiahua Dong
Lingyu Kong
Yunbo Wang
ViT
154
41
0
11 Mar 2023
FFT-based Dynamic Token Mixer for Vision
FFT-based Dynamic Token Mixer for VisionAAAI Conference on Artificial Intelligence (AAAI), 2023
Yuki Tatsunami
Masato Taki
271
52
0
07 Mar 2023
Efficient Frequency Domain-based Transformers for High-Quality Image
  Deblurring
Efficient Frequency Domain-based Transformers for High-Quality Image DeblurringComputer Vision and Pattern Recognition (CVPR), 2022
Lingshun Kong
Jiangxin Dong
Mingqiang Li
J. Ge
Jin-shan Pan
ViT
169
264
0
22 Nov 2022
Learnability Enhancement for Low-light Raw Denoising: Where Paired Real
  Data Meets Noise Modeling
Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise ModelingACM Multimedia (ACM MM), 2022
Hansen Feng
Lizhi Wang
Yuzhi Wang
Huan Huang
185
44
0
13 Jul 2022
HDNet: High-resolution Dual-domain Learning for Spectral Compressive
  Imaging
HDNet: High-resolution Dual-domain Learning for Spectral Compressive ImagingComputer Vision and Pattern Recognition (CVPR), 2022
Xiaowan Hu
Yuanhao Cai
Jing Lin
Haoqian Wang
X. Yuan
Yulun Zhang
Radu Timofte
Luc Van Gool
162
198
0
04 Mar 2022
Restormer: Efficient Transformer for High-Resolution Image Restoration
Restormer: Efficient Transformer for High-Resolution Image Restoration
Syed Waqas Zamir
Aditya Arora
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Ming-Hsuan Yang
ViT
532
3,168
0
18 Nov 2021
SDWNet: A Straight Dilated Network with Wavelet Transformation for Image
  Deblurring
SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring
Wenbin Zou
Mingchao Jiang
Yunchen Zhang
Liang Chen
Zhiyong Lu
Yi Wu
222
110
0
12 Oct 2021
SwinIR: Image Restoration Using Swin Transformer
SwinIR: Image Restoration Using Swin Transformer
Christos Sakaridis
Jie Cao
Guolei Sun
Lucas Beerens
Luc Van Gool
Radu Timofte
ViT
452
3,934
0
23 Aug 2021
Rethinking Coarse-to-Fine Approach in Single Image Deblurring
Rethinking Coarse-to-Fine Approach in Single Image DeblurringIEEE International Conference on Computer Vision (ICCV), 2021
Sung-Jin Cho
Seoyoun Ji
Jun Pyo Hong
Seung‐Won Jung
Sung-Jea Ko
320
710
0
11 Aug 2021
CAT: Cross Attention in Vision Transformer
CAT: Cross Attention in Vision TransformerIEEE International Conference on Multimedia and Expo (ICME), 2021
Hezheng Lin
Xingyi Cheng
Xiangyu Wu
Fan Yang
Dong Shen
Zhongyuan Wang
Qing Song
Wei Yuan
ViT
160
252
0
10 Jun 2021
Uformer: A General U-Shaped Transformer for Image Restoration
Uformer: A General U-Shaped Transformer for Image RestorationComputer Vision and Pattern Recognition (CVPR), 2021
Zhendong Wang
Xiaodong Cun
Jianmin Bao
Wengang Zhou
Jianzhuang Liu
Houqiang Li
ViT
479
1,847
0
06 Jun 2021
Decoupled Dynamic Filter Networks
Decoupled Dynamic Filter NetworksComputer Vision and Pattern Recognition (CVPR), 2021
Jingkai Zhou
Varun Jampani
Zhixiong Pi
Qiong Liu
Ming-Hsuan Yang
153
125
0
29 Apr 2021
Multi-Stage Progressive Image Restoration
Multi-Stage Progressive Image RestorationComputer Vision and Pattern Recognition (CVPR), 2021
Syed Waqas Zamir
Aditya Arora
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Ming-Hsuan Yang
Ling Shao
465
1,892
0
04 Feb 2021
NBNet: Noise Basis Learning for Image Denoising with Subspace Projection
NBNet: Noise Basis Learning for Image Denoising with Subspace ProjectionComputer Vision and Pattern Recognition (CVPR), 2020
Shuyang Cheng
Yuzhi Wang
Haibin Huang
Donghao Liu
Haoqiang Fan
Shuaicheng Liu
278
214
0
30 Dec 2020
Focal Frequency Loss for Image Reconstruction and Synthesis
Focal Frequency Loss for Image Reconstruction and SynthesisIEEE International Conference on Computer Vision (ICCV), 2020
Liming Jiang
Bo Dai
Wayne Wu
Chen Change Loy
316
365
0
23 Dec 2020
Fourier Features Let Networks Learn High Frequency Functions in Low
  Dimensional Domains
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik
Pratul P. Srinivasan
B. Mildenhall
Sara Fridovich-Keil
N. Raghavan
Utkarsh Singhal
R. Ramamoorthi
Jonathan T. Barron
Ren Ng
549
2,984
0
18 Jun 2020
An Integrated Enhancement Solution for 24-hour Colorful Imaging
An Integrated Enhancement Solution for 24-hour Colorful Imaging
Feifan Lv
Yinqiang Zheng
Yicheng Li
Feng Lu
205
21
0
10 May 2020
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and
  Results
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
A. Abdelhamed
Mahmoud Afifi
Radu Timofte
M. S. Brown
Yue Cao
...
Tingniao Wang
C. Lei
Yinan Han
Rajat Gupta
Vineet Kumar
245
97
0
08 May 2020
Unsupervised Real-world Image Super Resolution via Domain-distance Aware
  Training
Unsupervised Real-world Image Super Resolution via Domain-distance Aware TrainingComputer Vision and Pattern Recognition (CVPR), 2020
Yunxuan Wei
Shuhang Gu
Yawei Li
Longcun Jin
233
146
0
02 Apr 2020
Deep Learning on Image Denoising: An overview
Deep Learning on Image Denoising: An overviewNeural Networks (NN), 2019
Chunwei Tian
Lunke Fei
Wenxian Zheng
Yong-mei Xu
W. Zuo
Chia-Wen Lin
518
871
0
31 Dec 2019
Dynamic Convolution: Attention over Convolution Kernels
Dynamic Convolution: Attention over Convolution KernelsComputer Vision and Pattern Recognition (CVPR), 2019
Yinpeng Chen
Xiyang Dai
Xiyang Dai
Dongdong Chen
Lu Yuan
Zicheng Liu
327
1,141
0
07 Dec 2019
Deformable Kernel Networks for Joint Image Filtering
Deformable Kernel Networks for Joint Image FilteringInternational Journal of Computer Vision (IJCV), 2019
Beomjun Kim
Jean Ponce
Bumsub Ham
282
157
0
17 Oct 2019
Deep Convolutional Neural Network for Multi-modal Image Restoration and
  Fusion
Deep Convolutional Neural Network for Multi-modal Image Restoration and FusionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Xin Deng
Pier Luigi Dragotti
205
242
0
09 Oct 2019
Real Image Denoising with Feature Attention
Real Image Denoising with Feature Attention
Saeed Anwar
Nick Barnes
198
605
0
16 Apr 2019
Noise2Self: Blind Denoising by Self-Supervision
Noise2Self: Blind Denoising by Self-SupervisionInternational Conference on Machine Learning (ICML), 2019
Joshua D. Batson
Loic A. Royer
289
750
0
30 Jan 2019
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural
  Networks
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
Zhi-Qin John Xu
Yaoyu Zhang
Yaoyu Zhang
Yan Xiao
Zheng Ma
560
630
0
19 Jan 2019
Stereoscopic Dark Flash for Low-light Photography
Stereoscopic Dark Flash for Low-light Photography
Jian Wang
Tianfan Xue
Jonathan T. Barron
Jiawen Chen
141
23
0
05 Jan 2019
FFDNet: Toward a Fast and Flexible Solution for CNN based Image
  Denoising
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
Lucas Beerens
W. Zuo
Lei Zhang
347
2,402
0
11 Oct 2017
Attention Is All You Need
Attention Is All You NeedNeural Information Processing Systems (NeurIPS), 2017
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
2.7K
159,090
0
12 Jun 2017
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
  Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Lucas Beerens
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
SupR
541
7,778
0
13 Aug 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
3.0K
88,445
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014
Diederik P. Kingma
Jimmy Ba
ODL
4.6K
160,730
0
22 Dec 2014
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